Tag: adversarial machine learning
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Transfer Learning for SAT Using Optimization Embeddings
Explore how foundational optimization embeddings enable unsupervised transfer learning for Boolean satisfiability (SAT) problems, improving AI decision-mak...
StoSignSGD: Optimized SignSGD for Large Language Models
Discover StoSignSGD, an unbiased sign-based optimizer that improves convergence and speeds up training of large language models with better stability.
TeLAPA: Enhancing Plasticity in Continual Reinforcement Learning
Discover TeLAPA, a framework that preserves policy plasticity and boosts adaptation in continual reinforcement learning with diverse policy neighborhoods.
Efficient Geometric Adaptation for Physics-Informed Neural Nets
Discover a lightweight geometric adaptation framework that boosts training speed, stability, and accuracy of Physics-Informed Neural Networks (PINNs).
Sequential KV Cache Compression Beyond Shannon Limit
Discover advanced sequential KV cache compression using probabilistic tries, surpassing the per-vector Shannon limit for transformer models.